dynare 5.3-1 source package in Ubuntu

Changelog

dynare (5.3-1) unstable; urgency=medium

  * New upstream version 5.3
  * dynare-matlab.postinst: compile MEX files using parallelization.
    Use as many threads as there are logical processors, as returned by “nproc”.
  * Remove an obsolete maintscript entry.

 -- Sébastien Villemot <email address hidden>  Mon, 21 Nov 2022 12:58:21 +0100

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Uploaded by:
Debian Octave Group
Uploaded to:
Sid
Original maintainer:
Debian Octave Group
Architectures:
any all
Section:
math
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe math

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dynare_5.3-1.dsc 2.6 KiB 6c3ef6ca926b4130e5e7db931970ddecc5806eb4a751ff6a8be7eb486b7c8d9e
dynare_5.3.orig.tar.xz 17.1 MiB bbbbd319f9a1cb7ffd4f7012be105a7c95842ca76d9d96e96305e1fbf8d8b585
dynare_5.3.orig.tar.xz.asc 833 bytes e130678e5d42d45221e776c4570cb2f297d5350aad159554f141c6edb2f37b4c
dynare_5.3-1.debian.tar.xz 57.0 KiB 42b611d05cd358bcf2b2b36514ea63be5d1a82cc10ade94390b37f2855359832

Available diffs

No changes file available.

Binary packages built by this source

dynare: platform for handling a wide class of economic models

 Dynare is a software platform for handling a wide class of economic models, in
 particular dynamic stochastic general equilibrium (DSGE) and overlapping
 generations (OLG) models. The models solved by Dynare include those relying on
 the rational expectations hypothesis, wherein agents form their expectations
 about the future in a way consistent with the model. But Dynare is also able
 to handle models where expectations are formed differently: on one extreme,
 models where agents perfectly anticipate the future; on the other extreme,
 models where agents have limited rationality or imperfect knowledge of the
 state of the economy and, hence, form their expectations through a learning
 process. In terms of types of agents, models solved by Dynare can incorporate
 consumers, productive firms, governments, monetary authorities, investors and
 financial intermediaries. Some degree of heterogeneity can be achieved by
 including several distinct classes of agents in each of the aforementioned
 agent categories.
 .
 Dynare offers a user-friendly and intuitive way of describing these models. It
 is able to perform simulations of the model given a calibration of the model
 parameters and is also able to estimate these parameters given a dataset. In
 practice, the user will write a text file containing the list of model
 variables, the dynamic equations linking these variables together, the
 computing tasks to be performed and the desired graphical or numerical
 outputs.
 .
 This package provides a full installation of Dynare, to be run on top of GNU
 Octave.

dynare-dbgsym: debug symbols for dynare
dynare-doc: documentation for Dynare

 Dynare is a software platform for handling a wide class of economic models, in
 particular dynamic stochastic general equilibrium (DSGE) and overlapping
 generations (OLG) models. The models solved by Dynare include those relying on
 the rational expectations hypothesis, wherein agents form their expectations
 about the future in a way consistent with the model. But Dynare is also able
 to handle models where expectations are formed differently: on one extreme,
 models where agents perfectly anticipate the future; on the other extreme,
 models where agents have limited rationality or imperfect knowledge of the
 state of the economy and, hence, form their expectations through a learning
 process. In terms of types of agents, models solved by Dynare can incorporate
 consumers, productive firms, governments, monetary authorities, investors and
 financial intermediaries. Some degree of heterogeneity can be achieved by
 including several distinct classes of agents in each of the aforementioned
 agent categories.
 .
 Dynare offers a user-friendly and intuitive way of describing these models. It
 is able to perform simulations of the model given a calibration of the model
 parameters and is also able to estimate these parameters given a dataset. In
 practice, the user will write a text file containing the list of model
 variables, the dynamic equations linking these variables together, the
 computing tasks to be performed and the desired graphical or numerical
 outputs.
 .
 This package contains full Dynare documentation, including the reference
 manual.

dynare-matlab: MATLAB support for Dynare

 Dynare is a software platform for handling a wide class of economic models, in
 particular dynamic stochastic general equilibrium (DSGE) and overlapping
 generations (OLG) models. The models solved by Dynare include those relying on
 the rational expectations hypothesis, wherein agents form their expectations
 about the future in a way consistent with the model. But Dynare is also able
 to handle models where expectations are formed differently: on one extreme,
 models where agents perfectly anticipate the future; on the other extreme,
 models where agents have limited rationality or imperfect knowledge of the
 state of the economy and, hence, form their expectations through a learning
 process. In terms of types of agents, models solved by Dynare can incorporate
 consumers, productive firms, governments, monetary authorities, investors and
 financial intermediaries. Some degree of heterogeneity can be achieved by
 including several distinct classes of agents in each of the aforementioned
 agent categories.
 .
 Dynare offers a user-friendly and intuitive way of describing these models. It
 is able to perform simulations of the model given a calibration of the model
 parameters and is also able to estimate these parameters given a dataset. In
 practice, the user will write a text file containing the list of model
 variables, the dynamic equations linking these variables together, the
 computing tasks to be performed and the desired graphical or numerical
 outputs.
 .
 This package is only useful to users having MATLAB installed on their
 machine. It contains the source of the MEX files and will recompile them using
 the existing MATLAB installation.